Researcher biography

A/Prof. Hongzhi Yin works as an ARC Future Fellow, associate professor, and director of the Responsible Big Data Intelligence Lab (RBDI) at The University of Queensland, Australia. He has made notable contributions to predictive analytics, recommendation systems, graph learning, social media analytics, and decentralized and edge intelligence. He has received numerous awards and recognition for his research achievements. He has been named to IEEE Computer Society's AI's 10 to Watch 2022 and Field Leader of Data Mining & Analysis in The Australian's Research 2020 magazine. In addition, he has received the prestigious 2023 Young Tall Poppy Science Awards, Australian Research Council Future Fellowship 2021, the Discovery Early Career Researcher Award 2016, 2022 Best Rising Stars of Science in the World, AI 2000 Most Influential Scholar Honorable Mention in Data Mining (2023 and 2022). He was featured among World's Top 2% Scientists Lists (Career Impact) published by Stanford University (2022 and 2021) and Best Computer Science Scientists in Australia 2023. He has published 260+ papers with an H-index of 63, including 160+ CCF A and 70+ CCF B, 160+ CORE A* and 70+ CORE A, such as KDD, SIGIR, WWW, WSDM, SIGMOD, VLDB, ICDE, AAAI, IJCAI, ACM Multimedia, ECCV, IEEE TKDE, TNNL, VLDB Journal, and ACM TOIS. He has been the leading author (first/co-first author or corresponding author) for 180+ of them. His research has won 8 international and national Best Paper Awards, including Best Paper Award - Honorable Mention at WSDM 2023, Best Paper Award at ICDE 2019, Best Student Paper Award at DASFAA 2020, Best Paper Award Nomination at ICDM 2018, ACM Computing Reviews' 21 Annual Best of Computing Notable Books and Articles, Best Paper Award at ADC 2018 and 2016, and Peking University Distinguished Ph.D. Dissertation Award 2014. He has eight conference papers recognized as the Most Influential Papers in KDD (x2), AAAI (x1), SIGIR (x1), WWW (x1), and CIKM (x3) (April 2023). He has received many competitive research grants, including ARC Future Fellowship 2022, ARC Discovery Early Career Researcher Award (DECRA) 2016, ARC Discovery Projects 2019 (Sole CI) and 2017, ARC Linkage Infrastructure, Equipment and Facilities 2022, ARC Industrial Transformation Training Centres 2021, UQ Foundation Research Excellence Award 2019 as the first winner of this award in School of ITEE since the establishment of this award 20 years ago. He has been an SPC/PC member for many top conferences, such as AAAI, IJCAI, KDD, ICML, ICLR, NeurIPS, SIGIR, WWW, WSDM, VLDB, ICDE, ICDM, and CIKM. He is currently serving as Associate Editor/Guest Editor/Editorial Board for ACM Transactions on Information Systems (TOIS), ACM Transactions on Intelligent Systems and Technology (TIST), Information Systems, and World Wide Web, Journal of Computer Science and Technology (JCST), Big Data Networks (specialty section of Frontiers in ICT, Frontiers in Digital Humanities, Frontiers in Big Data and Frontiers in Computer Science), Springer Nature Computer Science, Information, and International Journal of Software and Informatics (IJSI). Dr. Yin has also been attracting wide media coverage, such as The Australian, Edge Impulse, SBS Radio Interviews, UQ News, Sohu.com, Faculty News of EAIT, IEEE Computer Society, ACM Computing Reviews.

Dr. Hongzhi Yin is looking for highly motivated and high-quality Ph.D. students. The University of Queensland ranks in the top 50 as measured by the Performance Ranking of Scientific Papers for World Universities. The University also ranks 47 in the QS World University Rankings, 52 in the US News Best Global Universities Rankings, 60 in the Times Higher Education World University Rankings, and 55 in the Academic Ranking of World Universities.

Latest News

  1. [6 August 2023] I have been recognized as one of 2023 Young Tall Poppy Science Award winners.

  2. [5 August 2023] We have four research papers accepted by the top conference CIKM 2023.

    • Towards Communication-Efficient Model Updating for On-Device Session-Based Recommendation

    • Semantic-aware Node Synthesis for Imbalanced Heterogeneous Information Networks

    • Self-Supervised Dynamic Hypergraph Recommendation based on Hyper-Relational Knowledge Graph

    • Causality-guided Graph Learning for Session-based Recommendation

  3. [24 July 2023] I was invited to serve as an Area Chair (AC) for the User Modeling and Recommendation track of The Web Conference 2024.

  4. [24 July 2023] We have two TKDE papers recognized as ESI Highly Cited Papers.

  5. [12 July 2023] Our research paper "Comprehensive Privacy Analysis on Federated Recommender System against Attribute Inference Attacks" has been accepted by the top journal TKDE 2023 (CORE A* and CCF A).

  6. [22 June 2023] Congratulations to my Ph.D. graduates Dr. Shijie Zhang and Dr. Qinyong Wang on winning UQ Graduate School 2022 and 2021 Dean's Award for Outstanding Higher Degree by Research Theses.
  7. [20 June 2023] Congratulations to my Ph.D. student Dr. Junliang Yu on achieving his Ph.D. from The University of Queensland.

  8. [19 June 2023] Our research paper "XSimGCL: Towards Extremely Simple Graph Contrastive Learning for Recommendation" has been accepted by the top journal TKDE 2023 (CORE A* and CCF A).

  9. [2 June 2023] Our research paper "Self-Supervised Learning for Recommender Systems: A Survey" has been accepted by the top journal TKDE 2023 (CORE A* and CCF A).

  10. [18 May 2023] I was invited to be an SPC for the top conference CIKM 2023.

  11. [17 May 2023] Our research paper "Efficient Bi-Level Optimization for Recommendation Denoising" was accepted by the top conference KDD 2023 Research Track (CORE A* and CCF A).

  12. [4 May 2023] I am excited to receive the prestigious "AI's 10 to Watch" award from the IEEE Computer Society, IEEE Intelligent Systems.

  13. [2 May 2023] Our research paper "KGA: A General Machine Unlearning Framework Based on Knowledge Gap Alignment" was accepted by the top conference ACL 2023 (CCF A and CORE A*). Congratulations to Lingzhi!

  14. [20 April 2023] Our research paper "Imbalanced Node Classification Beyond Homophilic Assumption" was accepted by the top conference IJCAI 2023 (CCF A and CORE A*). Congratulations to Jie Liu!

  15. [10 April 2023] I was invited to give a speech on the public webinar "Application and Future Challenges of ChatGPT " by the editorial office of Human-Centric Intelligent Systems.

  16. [6 April 2023] We have four full research papers accepted by the top conference SIGIR 2023 (CCF and CORE A*) . Congratulations to the Ph.D. students Wei Yuan, Jing Long, Yunke Qu, and Shangfei Zheng.

  17. [2 March 2023] Our research paper "Knowledge Enhancement for Contrastive Multi-Behavior Recommendation" has won "Best Paper Award - Honorable Mention" at WSDM 2023.

  18. [1 March 2023] We organize a special issue on Graph Representation Learning for Feature Extraction and Signal Processing in CAAI Transactions on Intelligence Technology (JCR Q1), calling for papers.

  19. [18 Feb 2023] Our research work "Heterogeneous Collaborative Learning for Personalized Healthcare Analytics via Messenger Distillation" was accepted by IEEE Journal of Biomedical and Health Informatics (JBHI) 2023 (CORE A* and Q1). Congratulations to Guanhua.

  20. [15 Feb 2023] Our research work "Time-aware Dynamic Graph Embedding for Asynchronous Structural Evolution" was accepted by TKDE 2023 (CORE A* and CCF A).

  21. [27 January 2023] I was invited to join the Doctoral Consortium Committee of WSDM 2023 as a Mentor.

  22. [26 January 2023] We have 2 research papers accepted by The Web Conference 2023 (CCF A and CORE A*). Congratulations to the first authors Wei Yuan and Liang Qu.

  23. [9 January 2023] Our research paper "Knowledge Enhancement for Contrastive Multi-Behavior Recommendation" has been shortlisted for the Best Paper Award (BPA) for WSDM 2023, and there are only four BPA candidate papers.

  24. [6 January 2023] Our research paper "Efficient On-Device Session-Based Recommendation" was accepted by the top journal ACM Transactions on Information Systems (TOIS, CCF A, CORE A).

  25. [3 January 2023] Our social computing work "Self-supervised Hypergraph Representation Learning for Sociological Analysis" was accepted by the top journal TKDE (CORE A* and CCF A).

  26. [30 December 2022] Our survey paper "AutoML for Deep Recommender Systems: A Survey" was accepted by the top journal ACM Transactions on Information Systems (TOIS, CCF A, CORE A).

  27. [23 December 2022] I was invited to serve as PC for the top conference SIGIR 2023, KDD 2023, and IJCAI 2023.

  28. [30 November 2022] I was awarded Faculty Teaching and Learning Awards (EAIT Citation for Excellence in Student Learning).

  29. [22 November 2022] I was invited to serve as a senior PC (meta reviewer) for the top conference PAKDD2023 (CORE A).

  30. [15 November 2022] I have been recognized with the 2022 Rising Star of Science Award and ranked 28 in Australia on Research.com.

  31. [13 November 2022] I was invited to serve as a senior PC (meta reviewer) and proceeding chair for DASFAA 2023 (CCF B).

  32. [11 November 2022] Our group's github has been launched https://github.com/AIHub-UQ.

  33. [1 November 2022] Our research paper "Structure Learning via Meta-Hyperedge for Dynamic Rumor Detection" was accepted by the top journal TKDE (CORE A* and CCF A).

  34. [18 October 2022] We have 4 joint research papers (collaborated with Alibaba, Tencent, Microsoft Research Asia, Beijing University of Posts and Telecommunications, UTS) accepted by the top conference WSDM 2022 (CORE A*).

  35. [14 October 2022] I was shortlisted for the 2022 University of Queensland Citations for Outstanding Contributions to Student Learning.

  36. [10 October 2022] I was invited to serve as an area chair in the Industry and Application Track program committee for ICDE 2023 (CORE A* and CCF A).

  37. [1 October 2022] I was invited to deliver a keynote at The 9th International Conference on Behavioral and Social Computing (BESC 2022).

  38. [6 September 2022] I received "Most Effective Teacher Nomination of EAIT Faculty" for my teaching INFS7450 Social Media Analytics.

  39. [1 September 2022] We have two research papers on knowledge graph reasoning accepted by ICDE 2023 (CCF A, CORE A*) and one research paper on sequential recommendation systems accepted by ICDM 2022 (CCF B, CORE A).

Featured projects Duration
Big-data analysis
Low energy mobile devices